{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "75417ef5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas import Series, DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "af9d0772",
   "metadata": {},
   "outputs": [],
   "source": [
    "oil_filename = '../data/wti-daily.csv'\n",
    "oil_df = pd.read_csv(oil_filename, \n",
    "                     parse_dates=[0], \n",
    "                     header=0,\n",
    "                     names=['date', 'oil'],\n",
    "                    index_col=0)\n",
    "\n",
    "ice_cream_filename = '../data/ice-cream.csv'\n",
    "ice_cream_df = pd.read_csv(ice_cream_filename, \n",
    "                           parse_dates=[0], \n",
    "                           index_col=0,\n",
    "                           header=0,\n",
    "                          names=['date','icecream'])\n",
    "ice_cream_df['icecream'].str.contains(r'\\d').value_counts()\n",
    "ice_cream_df = ice_cream_df[ice_cream_df['icecream'].str.contains(r'\\d')]\n",
    "ice_cream_df['icecream'] = ice_cream_df['icecream'].astype(np.float64)\n",
    "\n",
    "miles_filename = '../data/miles-traveled.csv'\n",
    "miles_df = pd.read_csv(miles_filename, parse_dates=[0], \n",
    "                       index_col=0,\n",
    "                       header=0,\n",
    "                      names=['date', 'miles'])\n",
    "\n",
    "df = oil_df.join(ice_cream_df, how='inner').join(miles_df, how='inner')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "241f56b6",
   "metadata": {},
   "source": [
    "# Beyond 1\n",
    "\n",
    "Is the month correlated with these values? And if not, why would we get such weird values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "28adf4a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>oil</th>\n",
       "      <th>icecream</th>\n",
       "      <th>miles</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>oil</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.777347</td>\n",
       "      <td>0.645250</td>\n",
       "      <td>0.006616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>icecream</th>\n",
       "      <td>0.777347</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.818383</td>\n",
       "      <td>-0.003985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miles</th>\n",
       "      <td>0.645250</td>\n",
       "      <td>0.818383</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.079290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <td>0.006616</td>\n",
       "      <td>-0.003985</td>\n",
       "      <td>0.079290</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               oil  icecream     miles     month\n",
       "oil       1.000000  0.777347  0.645250  0.006616\n",
       "icecream  0.777347  1.000000  0.818383 -0.003985\n",
       "miles     0.645250  0.818383  1.000000  0.079290\n",
       "month     0.006616 -0.003985  0.079290  1.000000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.reset_index()\n",
    "df['month'] = df['date'].dt.month\n",
    "df = df.set_index('date')\n",
    "df.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8da75683",
   "metadata": {},
   "source": [
    "# Beyond 2\n",
    "\n",
    "Create a scatter plot of `icecream` vs. `miles`, adding color using the month the \"Spectral\" colormap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "798bf685",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='icecream', ylabel='miles'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(x='icecream', y='miles', c='month', colormap='Spectral')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88e58090",
   "metadata": {},
   "source": [
    "# Beyond 3\n",
    "\n",
    "Instead of using an inner join, we could have removed all of the rows from `oil_df` that weren't on the final day of the month. How could we do that?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8caaecbe",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>oil</th>\n",
       "      <th>icecream</th>\n",
       "      <th>miles</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1986-04-01</th>\n",
       "      <td>11.13</td>\n",
       "      <td>2.382</td>\n",
       "      <td>150277.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986-05-01</th>\n",
       "      <td>13.80</td>\n",
       "      <td>2.368</td>\n",
       "      <td>160459.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986-07-01</th>\n",
       "      <td>12.39</td>\n",
       "      <td>2.369</td>\n",
       "      <td>171114.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986-08-01</th>\n",
       "      <td>11.56</td>\n",
       "      <td>2.319</td>\n",
       "      <td>173977.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986-10-01</th>\n",
       "      <td>15.23</td>\n",
       "      <td>2.377</td>\n",
       "      <td>159434.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              oil  icecream     miles\n",
       "date                                 \n",
       "1986-04-01  11.13     2.382  150277.0\n",
       "1986-05-01  13.80     2.368  160459.0\n",
       "1986-07-01  12.39     2.369  171114.0\n",
       "1986-08-01  11.56     2.319  173977.0\n",
       "1986-10-01  15.23     2.377  159434.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oil_df = oil_df.reset_index()\n",
    "oil_df = oil_df[oil_df['date'].dt.is_month_start]\n",
    "oil_df = oil_df.set_index('date')\n",
    "\n",
    "df = oil_df.join(ice_cream_df).join(miles_df)\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee4c9260",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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